Table of Contents Table of Contents
Previous Page  364 / 1082 Next Page
Information
Show Menu
Previous Page 364 / 1082 Next Page
Page Background

S349

ESTRO 36 2017

_______________________________________________________________________________________________

Results

RapidPlan DVH analysis of all 54 pt indicated that 4/9

patients with RP had the highest CL doses, and 3 had high

IL doses(figure). 2/3 pt developing LH had the highest

volumes of PBT receiving high doses >40Gy and

Dmax>70Gy. For the 15 pt who developed ≥G3toxicity, the

non-toxicity model showed that 5 of their plans had up to

2.5x higher CL mean dose than predicted, all these pt had

RP. For 3 patients, the clinical plans had higher maximum

PBT doses(70-82Gy) than the model,2 of these pt

developed LH and 1 post-SABR atelectasis. For the other 8

pt, clinical plans were judged to be good.

Conclusion

A RapidPlan model identified the potential for plan

improvements in nearly 50% of pt undergoing SABR for lung

tumors ≥5cm, who developed G≥3 toxicity.Such plan

quality checks are important for this type of higher-risk

treatment. They could also help to improve quality of

clinical studies.

PO-0675 Evaluating commercial delineation software

in routine clinical practice: analyzing time and quality.

T. Lustberg

1

, W. Van Elmpt

1

, J. Van der Stoep

1

, J. Van

Soest

1

, M. Gooding

2

, A. Dekker

1

1

Department of Radiation Oncology MAASTRO- GROW,

School for Oncology and Developmental Biology-

Maastricht University Medical Centre, Maastricht, The

Netherlands

2

Mirada Medical Ltd, Science and Medical Technology,

Oxford, United Kingdom

Purpose or Objective

Delineation of organs at risk (OAR) and target volumes is

vital for treatment planning in radiation oncology. This

process is very time consuming and quality of the

delineation depends on the skill level of the observer.

Automatic delineation software is commercially available

but rarely used in clinical practice. The aim of this study

to evaluate the quality of automatic delineation of OARs

and the time that could potentially be gained by

commissioning automatic delineation software for clinical

use.

Material and Methods

Twenty stage I-III NSCLC patients were selected from

routine clinical practice and their CT scans were used to

delineate OARs. The following OARs were delineated: left

lung, right lung, heart, spinal cord, esophagus,

mediastinum, left brachial plexus, right brachial plexus

and carina. Each OAR was delineated 3 times, once

manually by a technician, once using commercial atlas-

based delineation software and once by adjusting the

software generated delineation to match clinical

guidelines by the same technician. The time needed

perform manual delineation and the adjustments to the

automatically generated delineation were recorded. The

atlas was derived from 10 stage I NSCLC patients collected

from clinical practice. To compare the delineations, the

maximum Hausdorff-distance was computed for each

patient for each OAR in each CT slice between the manual

delineation and the atlas, and between the manual

delineation and the adjusted atlas. The mean of these

maximums was calculated and presented as a boxplot for

each OAR for the two comparisons together with the time

required to perform the delineations.

Results

Delineation of the left lung, heart, esophagus, left and

right brachial plexus and carina was quicker if the

automatically generated delineation only needed minor

adjustments (Figure 1B). The right lung, spinal cord and

mediastinum show a time gain on average, but not for all

cases (Figure 1B). The adjustment of the delineation

created by the automatic delineation software resulted in

a smaller mean maximum Hausdorff-distance for all OARs

compared to the manual delineation (Figure 1A), but there

was still a difference to the manual delineation.

Figure 1: A) Delineation mean maximum Hausdorff-

distance for each OAR. B) Time needed to delineate the

OARs.

Conclusion

Based on the results above, we conclude that

automatically generated delineations save time for the

majority of the cases and after minor adjustment meet

clinical guidelines. Further investigation is needed into

the quality of the automatic delineation software and

inter-observer variability.

PO-0676 outcomes of synchronous and metachronous

pulmonary oligometastasis treated with SBRT

A. Sharma

1

, M. Duijm

1

, E. Oomen-de Hoop

2

, J. Aerts

3

, C.

Verhoef

4

, M. Hoogeman

1

, J. Nuyttens

1

1

Erasmus MC-Daniel den Hoed Cancer Center-

Rotterdam- The Netherlands, Department of Radiation

Oncology, Rotterdam, The Netherlands

2

Erasmus MC-Daniel den Hoed Cancer Center-

Rotterdam- The Netherlands, Department of Medical

Oncology, Rotterdam, The Netherlands

3

Erasmus MC-Daniel den Hoed Cancer Center-

Rotterdam- The Netherlands, Department of

Pulmonology, Rotterdam, The Netherlands

4

Erasmus MC-Daniel den Hoed Cancer Center-

Rotterdam- The Netherlands, Department of Surgical

Oncology, Rotterdam, The Netherlands

Purpose or Objective

The purpose of our study was to evaluate overall survival

(OS) and identify factors associated with OS in patients

diagnosed with inoperable pulmonary oligometastatic

tumors.

Material and Methods

Between 2005 to 2015, 326 inoperable pulmonary

oligometastasis in 206 patients with ≤ 5 metastasis in no

more than two organs were treated with stereotactic body

radiotherapy (SBRT). Synchronous metastases were

defined as presence of metastases within 5 months of

diagnosis of primary tumor, otherwise they were assigned

to the metachronous group. Risk adapted SBRT was used

to treat peripheral lung metastasis with 51 Gy or 54Gy or

60 Gy in 3 fractions or 30Gy in single fraction, central

tumors received 50 Gy-55Gy in 5 fractions or 60Gy in 8

fractions and metastasis located close to esophagus or in

mediastinum received 6x8 Gy, 7x7Gy or 8x7Gy. Dose to

PTV was prescribed at the 70-90% isodose line (median

78%), covering at least 95% of PTV. OS was calculated from

date of first SBRT session to date of death or date of last

follow up for alive patients. The following variables were

assessed for prognosis: age, gender, primary site,

metachronous versus synchronous tumors, metastatic

burden in body, metastatic burden in lungs, presence of

extra pulmonary metastasis, delivery of pre SBRT

chemotherapy, disease free interval, biological